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    <title>ECharts</title>
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			"鄂尔多斯":[109.781327,39.608266],
			"招远":[120.38,37.35],
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			{name: "鄂尔多斯", value: 12},
			{name: "招远", value: 12},
			{name: "舟山", value: 12},
			{name: "齐齐哈尔", value: 14},
			{name: "盐城", value: 15},
			{name: "赤峰", value: 16},
			{name: "青岛", value: 18},
			{name: "乳山", value: 18},
			{name: "金昌", value: 19},
			{name: "泉州", value: 21},
			{name: "莱西", value: 21},
			{name: "日照", value: 21},
			{name: "胶南", value: 22},
			{name: "南通", value: 23},
			{name: "拉萨", value: 24},
			{name: "云浮", value: 24},
			{name: "梅州", value: 25},
			{name: "文登", value: 25},
			{name: "上海", value: 25},
			{name: "攀枝花", value: 25},
			{name: "威海", value: 25},
			{name: "承德", value: 25},
			{name: "厦门", value: 26},
			{name: "汕尾", value: 26},
			{name: "潮州", value: 26},
			{name: "丹东", value: 27},
			{name: "太仓", value: 27},
			{name: "曲靖", value: 27},
			{name: "烟台", value: 28},
			{name: "福州", value: 29},
			{name: "瓦房店", value: 30},
			{name: "即墨", value: 30},
			{name: "抚顺", value: 31},
			{name: "玉溪", value: 31},
			{name: "张家口", value: 31},
			{name: "阳泉", value: 31},
			{name: "莱州", value: 32},
			{name: "湖州", value: 32},
			{name: "汕头", value: 32},
			{name: "昆山", value: 33},
			{name: "宁波", value: 33},
			{name: "湛江", value: 33},
			{name: "揭阳", value: 34},
			{name: "荣成", value: 34},
			{name: "连云港", value: 35},
			{name: "葫芦岛", value: 35},
			{name: "常熟", value: 36},
			{name: "东莞", value: 36},
			{name: "河源", value: 36},
			{name: "淮安", value: 36},
			{name: "泰州", value: 36},
			{name: "南宁", value: 37},
			{name: "营口", value: 37},
			{name: "惠州", value: 37},
			{name: "江阴", value: 37},
			{name: "蓬莱", value: 37},
			{name: "韶关", value: 38},
			{name: "嘉峪关", value: 38},
			{name: "广州", value: 38},
			{name: "延安", value: 38},
			{name: "太原", value: 39},
			{name: "清远", value: 39},
			{name: "中山", value: 39},
			{name: "昆明", value: 39},
			{name: "寿光", value: 40},
			{name: "盘锦", value: 40},
			{name: "长治", value: 41},
			{name: "深圳", value: 41},
			{name: "珠海", value: 42},
			{name: "宿迁", value: 43},
			{name: "咸阳", value: 43},
			{name: "铜川", value: 44},
			{name: "平度", value: 44},
			{name: "佛山", value: 44},
			{name: "海口", value: 44},
			{name: "江门", value: 45},
			{name: "章丘", value: 45},
			{name: "肇庆", value: 46},
			{name: "大连", value: 47},
			{name: "临汾", value: 47},
			{name: "吴江", value: 47},
			{name: "石嘴山", value: 49},
			{name: "沈阳", value: 50},
			{name: "苏州", value: 50},
			{name: "茂名", value: 50},
			{name: "嘉兴", value: 51},
			{name: "长春", value: 51},
			{name: "胶州", value: 52},
			{name: "银川", value: 52},
			{name: "张家港", value: 52},
			{name: "三门峡", value: 53},
			{name: "锦州", value: 54},
			{name: "南昌", value: 54},
			{name: "柳州", value: 54},
			{name: "三亚", value: 54},
			{name: "自贡", value: 56},
			{name: "吉林", value: 56},
			{name: "阳江", value: 57},
			{name: "泸州", value: 57},
			{name: "西宁", value: 57},
			{name: "宜宾", value: 58},
			{name: "呼和浩特", value: 58},
			{name: "成都", value: 58},
			{name: "大同", value: 58},
			{name: "镇江", value: 59},
			{name: "桂林", value: 59},
			{name: "张家界", value: 59},
			{name: "宜兴", value: 59},
			{name: "北海", value: 60},
			{name: "西安", value: 61},
			{name: "金坛", value: 62},
			{name: "东营", value: 62},
			{name: "牡丹江", value: 63},
			{name: "遵义", value: 63},
			{name: "绍兴", value: 63},
			{name: "扬州", value: 64},
			{name: "常州", value: 64},
			{name: "潍坊", value: 65},
			{name: "重庆", value: 66},
			{name: "台州", value: 67},
			{name: "南京", value: 67},
			{name: "滨州", value: 70},
			{name: "贵阳", value: 71},
			{name: "无锡", value: 71},
			{name: "本溪", value: 71},
			{name: "克拉玛依", value: 72},
			{name: "渭南", value: 72},
			{name: "马鞍山", value: 72},
			{name: "宝鸡", value: 72},
			{name: "焦作", value: 75},
			{name: "句容", value: 75},
			{name: "北京", value: 79},
			{name: "徐州", value: 79},
			{name: "衡水", value: 80},
			{name: "包头", value: 80},
			{name: "绵阳", value: 80},
			{name: "乌鲁木齐", value: 84},
			{name: "枣庄", value: 84},
			{name: "杭州", value: 84},
			{name: "淄博", value: 85},
			{name: "鞍山", value: 86},
			{name: "溧阳", value: 86},
			{name: "库尔勒", value: 86},
			{name: "安阳", value: 90},
			{name: "开封", value: 90},
			{name: "济南", value: 92},
			{name: "德阳", value: 93},
			{name: "温州", value: 95},
			{name: "九江", value: 96},
			{name: "邯郸", value: 98},
			{name: "临安", value: 99},
			{name: "兰州", value: 99},
			{name: "沧州", value: 100},
			{name: "临沂", value: 103},
			{name: "南充", value: 104},
			{name: "天津", value: 105},
			{name: "富阳", value: 106},
			{name: "泰安", value: 112},
			{name: "诸暨", value: 112},
			{name: "郑州", value: 113},
			{name: "哈尔滨", value: 114},
			{name: "聊城", value: 116},
			{name: "芜湖", value: 117},
			{name: "唐山", value: 119},
			{name: "平顶山", value: 119},
			{name: "邢台", value: 119},
			{name: "德州", value: 120},
			{name: "济宁", value: 120},
			{name: "荆州", value: 127},
			{name: "宜昌", value: 130},
			{name: "义乌", value: 132},
			{name: "丽水", value: 133},
			{name: "洛阳", value: 134},
			{name: "秦皇岛", value: 136},
			{name: "株洲", value: 143},
			{name: "石家庄", value: 147},
			{name: "莱芜", value: 148},
			{name: "常德", value: 152},
			{name: "保定", value: 153},
			{name: "湘潭", value: 154},
			{name: "金华", value: 157},
			{name: "岳阳", value: 169},
			{name: "长沙", value: 175},
			{name: "衢州", value: 177},
			{name: "廊坊", value: 193},
			{name: "菏泽", value: 194},
			{name: "合肥", value: 229},
			{name: "武汉", value: 273},
			{name: "大庆", value: 279}
		];

		var convertData = function (data) {
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			for (var i = 0; i < data.length; i++) {
				var geoCoord = geoCoordMap[data[i].name];
				if (geoCoord) {
					res.push({
						name: data[i].name,
						value: geoCoord.concat(data[i].value)
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				return b.value - a.value;
			}).slice(0, 6))
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			animationDuration: 1000,
			animationEasing: 'cubicInOut',
			animationDurationUpdate: 1000,
			animationEasingUpdate: 'cubicInOut',
			title: [
				{
					text: '全国主要城市 PM 2.5',
					subtext: 'data from PM25.in',
					sublink: 'http://www.pm25.in',
					left: 'center',
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				throttleType: 'debounce',
				throttleDelay: 300,
				geoIndex: 0
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				map: 'china',
				left: '10',
				right: '35%',
				center: [117.98561551896913, 31.205000490896193],
				zoom: 2.5,
				label: {
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			tooltip : {
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				boundaryGap: false,
				splitLine: {show: false},
				axisLine: {show: false},
				axisTick: {show: false},
				axisLabel: {margin: 2, textStyle: {color: '#aaa'}},
			},
			yAxis: {
				type: 'category',
				name: 'TOP 20',
				nameGap: 16,
				axisLine: {show: false, lineStyle: {color: '#ddd'}},
				axisTick: {show: false, lineStyle: {color: '#ddd'}},
				axisLabel: {interval: 0, textStyle: {color: '#ddd'}},
				data: []
			},
			series : [
				{
					name: 'pm2.5',
					type: 'scatter',
					coordinateSystem: 'geo',
					data: convertedData[0],
					symbolSize: function (val) {
						return Math.max(val[2] / 10, 8);
					},
					label: {
						normal: {
							formatter: '{b}',
							position: 'right',
							show: false
						},
						emphasis: {
							show: true
						}
					},
					itemStyle: {
						normal: {
							color: '#ddb926'
						}
					}
				},
				{
					name: 'Top 5',
					type: 'effectScatter',
					coordinateSystem: 'geo',
					data: convertedData[1],
					symbolSize: function (val) {
						return Math.max(val[2] / 10, 8);
					},
					showEffectOn: 'emphasis',
					rippleEffect: {
						brushType: 'stroke'
					},
					hoverAnimation: true,
					label: {
						normal: {
							formatter: '{b}',
							position: 'right',
							show: true
						}
					},
					itemStyle: {
						normal: {
							color: '#f4e925',
							shadowBlur: 10,
							shadowColor: '#333'
						}
					},
					zlevel: 1
				},
				{
					id: 'bar',
					zlevel: 2,
					type: 'bar',
					symbol: 'none',
					itemStyle: {
						normal: {
							color: '#ddb926'
						}
					},
					data: []
				}
			]
		};


		myChart.on('brushselected', renderBrushed);

		// myChart.setOption(option);

		setTimeout(function () {
			myChart.dispatchAction({
				type: 'brush',
				areas: [
					{
						geoIndex: 0,
						brushType: 'polygon',
						coordRange: [[119.72,34.85],[119.68,34.85],[119.5,34.84],[119.19,34.77],[118.76,34.63],[118.6,34.6],[118.46,34.6],[118.33,34.57],[118.05,34.56],[117.6,34.56],[117.41,34.56],[117.25,34.56],[117.11,34.56],[117.02,34.56],[117,34.56],[116.94,34.56],[116.94,34.55],[116.9,34.5],[116.88,34.44],[116.88,34.37],[116.88,34.33],[116.88,34.24],[116.92,34.15],[116.98,34.09],[117.05,34.06],[117.19,33.96],[117.29,33.9],[117.43,33.8],[117.49,33.75],[117.54,33.68],[117.6,33.65],[117.62,33.61],[117.64,33.59],[117.68,33.58],[117.7,33.52],[117.74,33.5],[117.74,33.46],[117.8,33.44],[117.82,33.41],[117.86,33.37],[117.9,33.3],[117.9,33.28],[117.9,33.27],[118.09,32.97],[118.21,32.7],[118.29,32.56],[118.31,32.5],[118.35,32.46],[118.35,32.42],[118.35,32.36],[118.35,32.34],[118.37,32.24],[118.37,32.14],[118.37,32.09],[118.44,32.05],[118.46,32.01],[118.54,31.98],[118.6,31.93],[118.68,31.86],[118.72,31.8],[118.74,31.78],[118.76,31.74],[118.78,31.7],[118.82,31.64],[118.82,31.62],[118.86,31.58],[118.86,31.55],[118.88,31.54],[118.88,31.52],[118.9,31.51],[118.91,31.48],[118.93,31.43],[118.95,31.4],[118.97,31.39],[118.97,31.37],[118.97,31.34],[118.97,31.27],[118.97,31.21],[118.97,31.17],[118.97,31.12],[118.97,31.02],[118.97,30.93],[118.97,30.87],[118.97,30.85],[118.95,30.8],[118.95,30.77],[118.95,30.76],[118.93,30.7],[118.91,30.63],[118.91,30.61],[118.91,30.6],[118.9,30.6],[118.88,30.54],[118.88,30.51],[118.86,30.51],[118.86,30.46],[118.72,30.18],[118.68,30.1],[118.66,30.07],[118.62,29.91],[118.56,29.73],[118.52,29.63],[118.48,29.51],[118.44,29.42],[118.44,29.32],[118.43,29.19],[118.43,29.14],[118.43,29.08],[118.44,29.05],[118.46,29.05],[118.6,28.95],[118.64,28.94],[119.07,28.51],[119.25,28.41],[119.36,28.28],[119.46,28.19],[119.54,28.13],[119.66,28.03],[119.78,28],[119.87,27.94],[120.03,27.86],[120.17,27.79],[120.23,27.76],[120.3,27.72],[120.42,27.66],[120.52,27.64],[120.58,27.63],[120.64,27.63],[120.77,27.63],[120.89,27.61],[120.97,27.6],[121.07,27.59],[121.15,27.59],[121.28,27.59],[121.38,27.61],[121.56,27.73],[121.73,27.89],[122.03,28.2],[122.3,28.5],[122.46,28.72],[122.5,28.77],[122.54,28.82],[122.56,28.82],[122.58,28.85],[122.6,28.86],[122.61,28.91],[122.71,29.02],[122.73,29.08],[122.93,29.44],[122.99,29.54],[123.03,29.66],[123.05,29.73],[123.16,29.92],[123.24,30.02],[123.28,30.13],[123.32,30.29],[123.36,30.36],[123.36,30.55],[123.36,30.74],[123.36,31.05],[123.36,31.14],[123.36,31.26],[123.38,31.42],[123.46,31.74],[123.48,31.83],[123.48,31.95],[123.46,32.09],[123.34,32.25],[123.22,32.39],[123.12,32.46],[123.07,32.48],[123.05,32.49],[122.97,32.53],[122.91,32.59],[122.83,32.81],[122.77,32.87],[122.71,32.9],[122.56,32.97],[122.38,33.05],[122.3,33.12],[122.26,33.15],[122.22,33.21],[122.22,33.3],[122.22,33.39],[122.18,33.44],[122.07,33.56],[121.99,33.69],[121.89,33.78],[121.69,34.02],[121.66,34.05],[121.64,34.08]]
					}
				]
			});
		}, 0);


		function renderBrushed(params) {
			var mainSeries = params.batch[0].selected[0];

			var selectedItems = [];
			var categoryData = [];
			var barData = [];
			var maxBar = 30;
			var sum = 0;
			var count = 0;

			for (var i = 0; i < mainSeries.dataIndex.length; i++) {
				var rawIndex = mainSeries.dataIndex[i];
				var dataItem = convertedData[0][rawIndex];
				var pmValue = dataItem.value[2];

				sum += pmValue;
				count++;

				selectedItems.push(dataItem);
			}

			selectedItems.sort(function (a, b) {
				return a.value[2] - b.value[2];
			});

			for (var i = 0; i < Math.min(selectedItems.length, maxBar); i++) {
				categoryData.push(selectedItems[i].name);
				barData.push(selectedItems[i].value[2]);
			}

			this.setOption({
				yAxis: {
					data: categoryData
				},
				xAxis: {
					axisLabel: {show: !!count}
				},
				title: {
					id: 'statistic',
					text: count ? '平均: ' + (sum / count).toFixed(4) : ''
				},
				series: {
					id: 'bar',
					data: barData
				}
			});
		}
		window.onresize = myChart.resize;
		myChart.setOption(option);		
    </script>
</body>
</html>


